CLIP-HandID learns a pseudo-token per hand identity and feeds it through CLIP's frozen text encoder, improving rank-1 hand identification accuracy on the 11k Hands and HD datasets relative to one prior baseline.
Feature-level fusion of major and minor dorsal finger knuckle patterns for person authentication,
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CLIP-HandID: Vision-Language Model for Hand-Based Person Identification
CLIP-HandID learns a pseudo-token per hand identity and feeds it through CLIP's frozen text encoder, improving rank-1 hand identification accuracy on the 11k Hands and HD datasets relative to one prior baseline.